Author

Aleksandr Zenin

Lomonosov Moscow State UniversityORCID 0000-0003-1522-0359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Peter O. FedicheviD· 2 shared Alexey Kondrashin· 1 shared Anastasia V. ShindyapinaiD· 1 shared Andrei E. TarkhoviD· 1 shared Boris Zhurov· 1 shared Didac SantesmassesiD· 1 shared Konstantin Slipensky· 1 shared L. I. Men’shikov· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenetics

Peter O. FedichevORCID

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2 papers

Recent·Most cited

GeneticseLifePeer-reviewedApr 6, 2020

Germline burden of rare damaging variants negatively affects human healthspan and lifespan

Anastasia V. Shindyapina, Aleksandr Zenin, Andrei E. Tarkhov…·Vadim N. Gladyshev

This study shows that the burden of rare protein-truncating variants negatively impacts human healthspan and lifespan in large cohorts.

19 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedMar 26, 2018

Extracting biological age from biomedical data via deep learning: too much of a good thing?

Timothy V. Pyrkov, Konstantin Slipensky, Mikhail Barg…·Peter O. Fedichev

This study compares biological age models using NHANES data, finding that supervised models improve age estimation but reduce mortality prediction accuracy, and introduces a new mortality risk model.

109 citationstop 2%

humanelectronic health records

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